The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-19"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "8663136 (up from 8488977 yesterday: 2.05 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "460011 (up from 453987 yesterday: 1.33 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.31



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2220962 29909 1.37 119118 678 0.57 5.36
Brazil 1032913 54771 5.60 48954 1206 2.53 4.74
Russia 568292 7971 1.42 7831 181 2.37 1.38
India 395048 14516 3.81 12948 375 2.98 3.28
United Kingdom 303285 1350 0.45 42546 173 0.41 14.03
Spain 245575 307 0.13 28315 1179 4.34 11.53
Peru 244388 0 0.00 7461 0 0.00 3.05
Italy 238011 -148 -0.06 34561 47 0.14 14.52
Chile 231393 6290 2.79 4093 252 6.56 1.77
Iran 200262 2615 1.32 9392 120 1.29 4.69
France 196083 811 0.42 29620 14 0.05 15.11
Germany 190299 482 0.25 8887 12 0.14 4.67
Turkey 185245 1214 0.66 4905 23 0.47 2.65
Pakistan 171666 6604 4.00 3382 153 4.74 1.97
Mexico 170485 5030 3.04 20394 647 3.28 11.96
Saudi Arabia 150292 4301 2.95 1184 45 3.95 0.79
Bangladesh 105535 3243 3.17 1388 45 3.35 1.32
Canada 102314 437 0.43 8408 47 0.56 8.22
South Africa 87715 3825 4.56 1831 94 5.41 2.09
Qatar 85462 1021 1.21 93 7 8.14 0.11
China 84494 0 0.00 4638 0 0.00 5.49
Belgium 60476 128 0.21 9695 12 0.12 16.03
Colombia 60387 3185 5.57 2046 91 4.65 3.39
Belarus 57333 676 1.19 337 6 1.81 0.59
Sweden 56043 0 0.00 5053 0 0.00 9.02
Egypt 52211 1774 3.52 2017 79 4.08 3.86
Ecuador 49731 634 1.29 4156 69 1.69 8.36
Netherlands 49634 107 0.22 6100 3 0.05 12.29
United Arab Emirates 44145 393 0.90 300 2 0.67 0.68
Indonesia 43803 1041 2.43 2373 34 1.45 5.42
Singapore 41615 142 0.34 26 0 0.00 0.06
Argentina 39570 2060 5.49 979 31 3.27 2.47
Kuwait 38678 604 1.59 313 5 1.62 0.81
Portugal 38464 375 0.98 1527 3 0.20 3.97
Ukraine 35755 922 2.65 995 19 1.95 2.78
Poland 31316 301 0.97 1334 18 1.37 4.26
Switzerland 31235 35 0.11 1956 0 0.00 6.26
Philippines 28459 660 2.37 1130 14 1.25 3.97
Afghanistan 27878 346 1.26 548 2 0.37 1.97
Oman 27670 852 3.18 125 6 5.04 0.45
Iraq 27352 1635 6.36 925 69 8.06 3.38
Ireland 25368 13 0.05 1714 0 0.00 6.76
Dominican Republic 25068 423 1.72 647 12 1.89 2.58
Panama 24274 923 3.95 485 10 2.11 2.00
Romania 23400 320 1.39 1484 11 0.75 6.34
Bolivia 22476 977 4.54 715 18 2.58 3.18
Bahrain 20916 486 2.38 57 2 3.64 0.27
Israel 20339 303 1.51 304 1 0.33 1.49
Armenia 19157 459 2.45 319 10 3.24 1.67
Nigeria 19147 667 3.61 487 12 2.53 2.54
Japan 17658 70 0.40 951 16 1.71 5.39
Austria 17271 48 0.28 688 0 0.00 3.98
Kazakhstan 16779 902 5.68 113 13 13.00 0.67
Moldova 13556 450 3.43 450 6 1.35 3.32
Ghana 13203 274 2.12 70 4 6.06 0.53
Serbia 12709 93 0.74 259 1 0.39 2.04
Denmark 12591 47 0.37 600 0 0.00 4.77
Guatemala 12509 641 5.40 483 34 7.57 3.86
Korea, South 12373 67 0.54 280 0 0.00 2.26
Azerbaijan 11767 438 3.87 143 4 2.88 1.22
Algeria 11504 119 1.05 825 14 1.73 7.17
Honduras 11258 519 4.83 349 6 1.75 3.10
Cameroon 10638 774 7.85 282 6 2.17 2.65
Czechia 10406 126 1.23 335 1 0.30 3.22
Morocco 9613 539 5.94 213 0 0.00 2.22
Norway 8726 18 0.21 244 0 0.00 2.80
Malaysia 8535 6 0.07 121 0 0.00 1.42
Sudan 8316 296 3.69 506 19 3.90 6.08
Nepal 8274 426 5.43 22 0 0.00 0.27
Australia 7411 2 0.03 102 0 0.00 1.38
Finland 7133 14 0.20 326 0 0.00 4.57
Cote d’Ivoire 6874 430 6.67 49 0 0.00 0.71
Uzbekistan 5946 179 3.10 19 0 0.00 0.32
Senegal 5639 164 3.00 79 3 3.95 1.40
Congo (Kinshasa) 5477 194 3.67 122 5 4.27 2.23
Tajikistan 5338 59 1.12 51 0 0.00 0.96

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 386556 796 0.21 31015 41 0.13 8.02 19870.71 1594.31 1 in 50
California 170862 3776 2.26 5426 71 1.33 3.18 4324.28 137.32 1 in 231
New Jersey 168496 389 0.23 12902 33 0.26 7.66 18970.10 1452.57 1 in 53
Illinois 135470 692 0.51 6580 43 0.66 4.86 10690.65 519.26 1 in 94
Massachusetts 106650 228 0.21 7799 30 0.39 7.31 15346.42 1122.24 1 in 65
Texas 105394 4135 4.08 2158 29 1.36 2.05 3634.79 74.42 1 in 275
Florida 89748 3822 4.45 3104 43 1.40 3.46 4178.65 144.52 1 in 239
Pennsylvania 85199 516 0.61 6399 38 0.60 7.51 6655.14 499.84 1 in 150
Michigan 67097 299 0.45 6067 6 0.10 9.04 6718.53 607.50 1 in 149
Maryland 63548 319 0.50 3030 14 0.46 4.77 10511.31 501.18 1 in 95
Georgia 62009 1097 1.80 2636 31 1.19 4.25 5840.31 248.27 1 in 171
Virginia 56793 555 0.99 1602 16 1.01 2.82 6653.73 187.69 1 in 150
Louisiana 48515 -119 -0.24 3084 22 0.72 6.36 10436.04 663.40 1 in 96
North Carolina 48168 0 0.00 1196 0 0.00 2.48 4592.64 114.03 1 in 218
Arizona 46910 3465 7.98 1321 38 2.96 2.82 6160.30 173.48 1 in 162
Connecticut 45557 117 0.26 4238 12 0.28 9.30 12777.93 1188.68 1 in 78
Ohio 43731 609 1.41 2667 34 1.29 6.10 3741.18 228.16 1 in 267
Indiana 41746 308 0.74 2516 25 1.00 6.03 6200.93 373.73 1 in 161
Tennessee 34017 1247 3.81 515 7 1.38 1.51 4978.21 75.37 1 in 201
Minnesota 32031 356 1.12 1393 17 1.24 4.35 5679.63 247.00 1 in 176
Colorado 30172 286 0.96 1643 5 0.31 5.45 5239.34 285.31 1 in 191
Alabama 29002 796 2.82 822 12 1.48 2.83 5914.93 167.65 1 in 169
Washington 27601 409 1.50 1255 10 0.80 4.55 3624.61 164.81 1 in 276
Iowa 25274 413 1.66 681 1 0.15 2.69 8010.60 215.84 1 in 125
Wisconsin 24154 278 1.16 730 11 1.53 3.02 4148.44 125.38 1 in 241
South Carolina 22608 1075 4.99 639 18 2.90 2.83 4391.00 124.11 1 in 228
Mississippi 20641 0 0.00 938 0 0.00 4.54 6935.47 315.17 1 in 144
Missouri 17667 296 1.70 958 13 1.38 5.42 2878.57 156.09 1 in 347
Nebraska 17588 174 1.00 244 5 2.09 1.39 9092.19 126.14 1 in 110
Utah 16425 586 3.70 155 3 1.97 0.94 5123.27 48.35 1 in 195
Rhode Island 16337 68 0.42 894 9 1.02 5.47 15421.56 843.90 1 in 65
Arkansas 14631 703 5.05 214 6 2.88 1.46 4848.19 70.91 1 in 206
Kentucky 13454 257 1.95 522 2 0.38 3.88 3011.41 116.84 1 in 332
Nevada 12524 355 2.92 479 4 0.84 3.82 4066.03 155.51 1 in 246
Kansas 12021 268 2.28 253 2 0.80 2.10 4126.23 86.84 1 in 242
Delaware 10611 112 1.07 433 2 0.46 4.08 10896.89 444.67 1 in 92
New Mexico 10260 107 1.05 464 8 1.75 4.52 4893.10 221.29 1 in 204
District of Columbia 9952 49 0.49 530 3 0.57 5.33 14101.33 750.98 1 in 71
Oklahoma 9707 352 3.76 367 1 0.27 3.78 2453.14 92.75 1 in 408
Oregon 6572 206 3.24 188 1 0.53 2.86 1558.18 44.57 1 in 642
Puerto Rico 6195 84 1.37 147 0 0.00 2.37 1939.76 46.03 1 in 516
South Dakota 6158 49 0.80 81 3 3.85 1.32 6960.87 91.56 1 in 144
New Hampshire 5486 36 0.66 337 6 1.81 6.14 4034.68 247.85 1 in 248
Idaho 3871 128 3.42 89 0 0.00 2.30 2160.08 49.66 1 in 463
North Dakota 3226 33 1.03 76 1 1.33 2.36 4233.25 99.73 1 in 236
Maine 2913 35 1.22 102 0 0.00 3.50 2167.07 75.88 1 in 461
West Virginia 2468 50 2.07 88 0 0.00 3.57 1380.97 49.24 1 in 724
Wyoming 1173 29 2.53 20 2 11.11 1.71 2026.75 34.56 1 in 493
Vermont 1144 9 0.79 56 0 0.00 4.90 1833.37 89.75 1 in 545
Hawaii 789 27 3.54 17 0 0.00 2.15 557.25 12.01 1 in 1795
Alaska 720 13 1.84 12 0 0.00 1.67 984.22 16.40 1 in 1016
Montana 666 11 1.68 20 0 0.00 3.00 623.14 18.71 1 in 1605

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3258963 386556 11.86 167525.27
California 3155702 170862 5.41 79866.48
New Jersey 1194343 168496 14.11 134464.92
Illinois 1312003 135470 10.33 103537.05
Massachusetts 750807 106650 14.20 108037.51
Texas 1423914 105394 7.40 49107.46
Florida 1532871 89748 5.85 71370.23
Pennsylvania 637218 85199 13.37 49774.92
Michigan 879928 67097 7.63 88108.60
Maryland 453669 63548 14.01 75040.19
Georgia 670306 62009 9.25 63132.65
Virginia 512411 56793 11.08 60032.79
Louisiana 590909 48515 8.21 127110.17
North Carolina 712313 48167 6.76 67916.41
Arizona 392216 46910 11.96 51506.44
Connecticut 379878 45557 11.99 106549.07
Ohio 616036 43731 7.10 52701.75
Indiana 392887 41746 10.63 58359.21
Tennessee 661689 34017 5.14 96834.79
Minnesota 475152 32031 6.74 84252.31
Colorado 264446 30172 11.41 45920.84
Alabama 331325 29002 8.75 67573.42
Washington 446899 27601 6.18 58687.50
Iowa 246649 25274 10.25 78175.44
Wisconsin 468905 24154 5.15 80534.19
South Carolina 288300 22608 7.84 55994.56
Mississippi 238715 20641 8.65 80209.36
Missouri 306284 17667 5.77 49904.29
Nebraska 147846 17588 11.90 76429.58
Utah 287358 16425 5.72 89632.49
Rhode Island 214589 16337 7.61 202564.56
Arkansas 234772 14631 6.23 77795.10
Kentucky 311227 13454 4.32 69661.99
Nevada 234360 12524 5.34 76087.06
Kansas 147649 12021 8.14 50680.77
Delaware 90434 10611 11.73 92870.55
New Mexico 280175 10260 3.66 133618.43
District of Columbia 73791 9952 13.49 104557.00
Oklahoma 274578 9707 3.54 69390.96
Oregon 193917 6572 3.39 45976.55
Puerto Rico 6195 6195 100.00 1939.76
South Dakota 71193 6158 8.65 80475.08
New Hampshire 103725 5486 5.29 76284.59
Idaho 69545 3871 5.57 38807.19
North Dakota 92606 3226 3.48 121520.30
Maine 77161 2913 3.78 57402.40
West Virginia 146014 2468 1.69 81702.29
Wyoming 36474 1173 3.22 63021.05
Vermont 55887 1144 2.05 89564.08
Hawaii 65744 789 1.20 46433.58
Alaska 83631 720 0.86 114321.06
Montana 68422 666 0.97 64018.91

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 124331 3827 3.18 62773 50.49 55652 5893 142 2.47 4.74
Tamil Nadu 56845 4511 8.62 31316 55.09 24825 704 79 12.64 1.24
Delhi 53116 3137 6.28 23569 44.37 27512 2035 66 3.35 3.83
Gujarat 26198 540 2.10 18167 69.34 6412 1619 27 1.70 6.18
Uttar Pradesh 16594 809 5.13 9995 60.23 6092 507 19 3.89 3.06
Rajasthan 14314 457 3.30 11121 77.69 2860 333 3 0.91 2.33
West Bengal 13090 355 2.79 7303 55.79 5258 529 11 2.12 4.04
Madhya Pradesh 11724 298 2.61 8880 75.74 2343 501 15 3.09 4.27
Haryana 9852 634 6.88 4892 49.65 4816 144 10 7.46 1.46
State Unassigned 9265 338 3.79 0 0.00 9265 0 0 NaN 0.00
Karnataka 8697 753 9.48 5391 61.99 3168 134 19 16.52 1.54
Andhra Pradesh 8452 956 12.75 4111 48.64 4240 101 9 9.78 1.19
Bihar 7380 340 4.83 5367 72.72 1964 49 5 11.36 0.66
Telangana 6526 499 8.28 3352 51.36 2976 198 3 1.54 3.03
Jammu and Kashmir 5680 125 2.25 3194 56.23 2411 75 4 5.63 1.32
Assam 5006 102 2.08 3203 63.98 1791 9 0 0.00 0.18
Odisha 4856 344 7.62 3534 72.78 1307 15 1 7.14 0.31
Punjab 3832 217 6.00 2636 68.79 1104 92 9 10.84 2.40
Kerala 3040 245 8.77 1566 51.51 1450 22 0 0.00 0.72
Uttarakhand 2278 175 8.32 1433 62.91 803 27 1 3.85 1.19
Chhattisgarh 2018 72 3.70 1305 64.67 703 10 1 11.11 0.50
Jharkhand 1961 42 2.19 1335 68.08 615 11 0 0.00 0.56
Tripura 1181 27 2.34 657 55.63 523 1 0 0.00 0.08
Ladakh 836 149 21.69 117 14.00 718 1 0 0.00 0.12
Goa 725 20 2.84 118 16.28 607 0 0 NaN 0.00
Manipur 681 75 12.38 218 32.01 463 0 0 NaN 0.00
Himachal Pradesh 650 55 9.24 402 61.85 228 7 0 0.00 1.08
Chandigarh 381 7 1.87 315 82.68 60 6 0 0.00 1.57
Puducherry 338 67 24.72 131 38.76 200 7 1 16.67 2.07
Nagaland 201 3 1.52 138 68.66 63 0 0 NaN 0.00
Mizoram 140 10 7.69 9 6.43 131 0 0 NaN 0.00
Arunachal Pradesh 135 32 31.07 14 10.37 121 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 83 23 38.33 26 31.33 57 0 0 NaN 0.00
Sikkim 70 0 0.00 21 30.00 49 0 0 NaN 0.00
Andaman and Nicobar Islands 47 2 4.44 35 74.47 12 0 0 NaN 0.00
Meghalaya 43 0 0.00 32 74.42 10 1 0 0.00 2.33
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 939820 92675 157 0.17 9.86 1537 60 14045 16534 17.84
Piemonte 384705 31188 26 0.08 8.11 363 22 2178 4039 12.95
Emilia-Romagna 443301 28170 27 0.10 6.35 145 11 1219 4224 14.99
Veneto 858726 19235 2 0.01 2.24 30 1 582 1998 10.39
Toscana 306489 10205 10 0.10 3.33 18 12 423 1095 10.73
Liguria 133898 9910 7 0.07 7.40 66 3 249 1540 15.54
Lazio 312708 7995 9 0.11 2.56 247 38 988 826 10.33
Marche 126380 6768 0 0.00 5.36 14 0 560 994 14.69
Campania 261642 4615 0 0.00 1.76 47 3 125 431 9.34
Puglia 158828 4520 1 0.02 2.85 31 1 255 538 11.90
P.A. Trento 108564 4458 1 0.02 4.11 2 0 56 466 10.45
Friuli Venezia Giulia 170109 3303 2 0.06 1.94 16 0 85 343 10.38
Abruzzo 96581 3280 1 0.03 3.40 53 1 407 459 13.99
Sicilia 187869 3070 3 0.10 1.63 21 5 150 280 9.12
P.A. Bolzano 78580 2615 2 0.08 3.33 3 1 75 292 11.17
Umbria 86693 1438 1 0.07 1.66 5 2 17 77 5.35
Sardegna 73846 1368 1 0.07 1.85 10 0 30 132 9.65
Valle d’Aosta 17183 1191 0 0.00 6.93 4 0 4 146 12.26
Calabria 86273 1165 0 0.00 1.35 18 0 34 97 8.33
Molise 20203 441 1 0.23 2.18 2 0 53 23 5.22
Basilicata 36705 401 0 0.00 1.09 0 1 8 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 54550 167 0.31 5375 35 0.66 9.85 6389.33 629.56 1 in 157
Ontario 34780 206 0.60 2625 12 0.46 7.55 2364.08 178.43 1 in 423
Alberta 7625 46 0.61 152 0 0.00 1.99 1727.79 34.44 1 in 579
British Columbia 2790 7 0.25 168 0 0.00 6.02 545.89 32.87 1 in 1832
Nova Scotia 1061 0 0.00 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 716 8 1.13 13 0 0.00 1.82 605.92 11.00 1 in 1650
Manitoba 311 3 0.97 7 0 0.00 2.25 225.77 5.08 1 in 4429
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 164 0 0.00 2 0 0.00 1.22 210.26 2.56 1 in 4756
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1631 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1124 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Beijing 777 9 1.16
Shanghai 697 7 1.00
Jiangsu 653 0 0.00
Sichuan 589 3 0.51
Chongqing 582 6 1.03
Fujian 362 1 0.28
Hebei 340 6 1.76
Shaanxi 314 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 197 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Jilin 155 2 1.29
Liaoning 153 2 1.31
Gansu 151 2 1.32
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6787.78 364.05 1 in 147
Brazil 4935.08 233.89 1 in 203
Russia 3932.82 54.19 1 in 254
India 295.03 9.67 1 in 3389
United Kingdom 4564.80 640.37 1 in 219
Spain 5263.07 606.84 1 in 190
Peru 7596.77 231.92 1 in 132
Italy 3935.37 571.45 1 in 254
Chile 12819.56 226.76 1 in 78
Iran 2467.50 115.72 1 in 405
France 2927.05 442.16 1 in 342
Germany 2298.57 107.34 1 in 435
Turkey 2292.35 60.70 1 in 436
Pakistan 871.40 17.17 1 in 1148
Mexico 1319.54 157.85 1 in 758
Saudi Arabia 4562.60 35.94 1 in 219
Bangladesh NA NA 1 in NA
Canada 2721.84 223.68 1 in 367
South Africa 1546.46 32.28 1 in 647
Qatar 32384.24 35.24 1 in 31

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 211670 22236 10.51
Cook Illinois 86551 4363 5.04
Los Angeles California 79655 3065 3.85
Nassau New York 41387 2175 5.26
Suffolk New York 40864 1962 4.80
Westchester New York 34455 1410 4.09
Maricopa Arizona 25999 615 2.37
Philadelphia Pennsylvania 24841 1550 6.24
Miami-Dade Florida 24376 864 3.54
Middlesex Massachusetts 23464 1791 7.63
Wayne Michigan 21995 2681 12.19
Harris Texas 19739 311 1.58
Suffolk Massachusetts 19493 971 4.98
Hudson New Jersey 19257 1294 6.72
Bergen New Jersey 18967 1691 8.92
Essex New Jersey 18533 1758 9.49
Prince George’s Maryland 17709 653 3.69
Passaic New Jersey 16725 1013 6.06
Middlesex New Jersey 16563 1097 6.62
Fairfield Connecticut 16425 1355 8.25
Union New Jersey 16291 1131 6.94
Dallas Texas 16042 311 1.94
Essex Massachusetts 15778 1065 6.75
Montgomery Maryland 13928 710 5.10
Rockland New York 13486 665 4.93
Fairfax Virginia 13244 432 3.26
Riverside California 12778 410 3.21
Providence Rhode Island 12363 0 0.00
New Haven Connecticut 12136 1056 8.70
Worcester Massachusetts 12085 893 7.39
Oakland Michigan 11485 1071 9.33
Hartford Connecticut 11358 1341 11.81
Marion Indiana 10885 665 6.11
Orange New York 10620 473 4.45
Hennepin Minnesota 10607 740 6.98
Broward Florida 10448 367 3.51
San Diego California 10350 332 3.21
Palm Beach Florida 10116 464 4.59
Milwaukee Wisconsin 10049 362 3.60
District of Columbia District of Columbia 9952 530 5.33
Clark Nevada 9852 390 3.96
Orange California 9576 257 2.68
Ocean New Jersey 9382 842 8.97
Lake Illinois 9242 395 4.27
King Washington 9061 600 6.62
Norfolk Massachusetts 8962 907 10.12
Monmouth New Jersey 8876 694 7.82
San Bernardino California 8714 230 2.64
DuPage Illinois 8609 444 5.16
Plymouth Massachusetts 8566 640 7.47

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc